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Analysis of Gene Expression Data for Gene Ontology Based Protein Function Prediction

Macholan, Robert Daniel
http://rave.ohiolink.edu/etdc/view?acc_num=akron1301529255

Abstract Details

2011, Master of Science, University of Akron, Computer Science.
A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins.
Zhong-Hui Duan, Dr. (Advisor)
Chien-Chung Chan, Dr. (Committee Member)
Yingcai Xiao, Dr. (Committee Member)
111 p.
Bioinformatics; Computer Science
Gene Expression; Gene Ontology; Protein Function; Prediction; Slope Matrix;

Recommended Citations

Citations

  • Macholan, R. D. (2011). Analysis of Gene Expression Data for Gene Ontology Based Protein Function Prediction [Master's thesis, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1301529255

    APA Style (7th edition)

  • Macholan, Robert. Analysis of Gene Expression Data for Gene Ontology Based Protein Function Prediction. 2011. University of Akron, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1301529255.

    MLA Style (8th edition)

  • Macholan, Robert. "Analysis of Gene Expression Data for Gene Ontology Based Protein Function Prediction." Master's thesis, University of Akron, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=akron1301529255

    Chicago Manual of Style (17th edition)

akron1301529255
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© 2011, all rights reserved.
This open access ETD is published by University of Akron and OhioLINK.